Extending the representation of classifier conditions part I: from binary to messy coding
暂无分享,去创建一个
[1] John H. Holland,et al. Escaping brittleness: the possibilities of general-purpose learning algorithms applied to parallel rule-based systems , 1995 .
[2] C. Watkins. Learning from delayed rewards , 1989 .
[3] Kalyanmoy Deb,et al. Messy Genetic Algorithms: Motivation, Analysis, and First Results , 1989, Complex Syst..
[4] Stewart W. Wilson. Classifier Fitness Based on Accuracy , 1995, Evolutionary Computation.
[5] Andrea Bonarini. Delayed Reinforcement , Fuzzy Q-Learning and Fuzzy Logic Controllers , 1996 .
[6] Marco Colombetti,et al. Robot Shaping: An Experiment in Behavior Engineering , 1997 .
[7] Dipankar Dasgupta,et al. Metacognition in Software Agents Using Classifier Systems , 1998, AAAI/IAAI.
[8] Stewart W. Wilson. Generalization in the XCS Classifier System , 1998 .
[9] James D. Johannes,et al. Hierarchical exemplar based credit allocation for genetic classifier systems , 1998 .
[10] T. Kovacs. XCS Classifier System Reliably Evolves Accurate, Complete, and Minimal Representations for Boolean Functions , 1998 .
[11] Pier Luca Lanzi,et al. An Analysis of Generalization in the XCS Classifier System , 1999, Evolutionary Computation.
[12] Luca Lanzi Pier,et al. Extending the Representation of Classifier Conditions Part II: From Messy Coding to S-Expressions , 1999 .